Abdul Rahman, Siti Husna and Chastan, Nevin Gabriel and Haw, Su-Cheng and Zainuddin, Ahmad Anwar (2023) Blockchain malware detection tool based on signature technique. Advances in Artificial Intelligence and Machine Learning, 3 (4). pp. 1654-1670. ISSN 2582-9793
|
PDF (Journal)
- Published Version
Download (2MB) | Preview |
|
|
PDF (Scopus)
- Supplemental Material
Download (130kB) | Preview |
Abstract
Downloading software or files from the internet can be risky as it is hard to know if they are safe and do not contain viruses. Traditional anti-virus software uses a centralized database to identify malware, but this method has drawbacks due to its centralized design, which creates a single point of failure. Blockchain technology has become a solution to many problems faced in the tech industry, including the need for a decentralized and secure way for users to verify and confirm the presence of malware in a file. The decentralized database, permanence, immutability, anonymity, and auditability of blockchain technology make it an ideal solution for malware detection. In fact, malware data has been compiled in databases that antivirus manufacturers use to identify malware. However, blockchain technology provides a more secure and decentralized way to store this data, which can be shared between users and allow them to rapidly update whether a file is safe or not. This paper presents a blockchain-based malware detection tool designed to enhance security and prevent the spread of malware in digital networks. The tool based on Java programming language incorporates signaturebased methods to effectively identify and detect malicious codes in malware. The proposed tool contributes to the field of cybersecurity by leveraging blockchain technology to enhance malware detection process.
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Blockchain, Malware detection, Signature-based detection, Decentralization,Malware |
| Subjects: | T Technology > T Technology (General) > T175 Industrial research. Research and development |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
| Depositing User: | Ts.Dr. Ahmad Anwar Zainuddin |
| Date Deposited: | 20 Dec 2023 15:07 |
| Last Modified: | 17 May 2024 10:40 |
| URI: | http://irep.iium.edu.my/id/eprint/108951 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics